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In SQL, the TRUNCATE TABLE statement is a data manipulation language (DML) [1] operation that deletes all rows of a table without causing a triggered action. The result of this operation quickly removes all data from a table , typically bypassing a number of integrity enforcing mechanisms.
Yes - TXT, CSV, HTML, XML, DBF, SQL script, RTF, MS Word, MS Excel, MS Access, MS Windows Clipboard, Paradox file, WK1, WQ1, SLK, DIF, LDIF (See link for limitations [16]) Yes No Navicat Data Modeler: No No Yes Yes - Import Database from server/ODBC Yes - Export SQL No No MySQL Workbench: Yes Yes Yes
MySQL Workbench is a visual database ... basic version control of schema models and a SQL query ... improved SQL auto-completion, a new table data import and export ...
Does not free the space occupied by the data in the table (in the TABLESPACE) Does not reset the SEQUENCE value assigned to the table; DELETE works much slower than TRUNCATE; You can undo the operation of removing records by using the ROLLBACK command; DELETE requires a shared table lock; Triggers fire; DELETE can be used in the case of ...
Database Workbench can be used to view, create and edit tables, indexes, stored procedures and other database meta data objects. It also supports: [19] visual database design/diagramming, both conceptual and physical, including reverse engineering; testing SQL queries and viewing query plans; step-by-step debugging of stored routines ...
A data control language (DCL) is a syntax similar to a computer programming language used to control access to data stored in a database (authorization). In particular, it is a component of Structured Query Language (SQL). Data Control Language is one of the logical group in SQL Commands.
The DROP statement is distinct from the DELETE and TRUNCATE statements, in that DELETE and TRUNCATE do not remove the table itself. For example, a DELETE statement might delete some (or all) data from a table while leaving the table itself in the database, whereas a DROP statement removes the entire table from the database.
In SQL, the data manipulation language comprises the SQL-data change statements, [3] which modify stored data but not the schema or database objects. Manipulation of persistent database objects, e.g., tables or stored procedures, via the SQL schema statements, [3] rather than the data stored within them, is considered to be part of a separate data definition language (DDL).